Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

Background Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve glio...

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Published in:BMC medical informatics and decision making Vol. 20; no. 1; pp. 149 - 14
Main Authors: Sudre, Carole H., Panovska-Griffiths, Jasmina, Sanverdi, Eser, Brandner, Sebastian, Katsaros, Vasileios K., Stranjalis, George, Pizzini, Francesca B., Ghimenton, Claudio, Surlan-Popovic, Katarina, Avsenik, Jernej, Spampinato, Maria Vittoria, Nigro, Mario, Chatterjee, Arindam R., Attye, Arnaud, Grand, Sylvie, Krainik, Alexandre, Anzalone, Nicoletta, Conte, Gian Marco, Romeo, Valeria, Ugga, Lorenzo, Elefante, Andrea, Ciceri, Elisa Francesca, Guadagno, Elia, Kapsalaki, Eftychia, Roettger, Diana, Gonzalez, Javier, Boutelier, Timothé, Cardoso, M. Jorge, Bisdas, Sotirios
Format: Journal Article
Language:English
Published: London BioMed Central 06.07.2020
BioMed Central Ltd
Springer Nature B.V
BMC
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ISSN:1472-6947, 1472-6947
Online Access:Get full text
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